AI & Machine Learning

10 powerful AI/ML frameworks and tools. Get framework-aware code generation with real-time documentation access.

AI & Machine Learning

Comprehensive tools and SDKs for integrating artificial intelligence and machine learning capabilities into applications. From language models to deep learning frameworks and model deployment platforms.

Language Models

Integration with leading AI models including GPT, Claude, and open-source alternatives

ML Frameworks

Deep learning frameworks for training and deploying machine learning models

Model Management

Tools for model versioning, deployment, and monitoring in production environments

Development Tools

Comprehensive SDKs and libraries for building AI-powered applications

Supported AI & Machine Learning

Augments provides comprehensive documentation access and context-aware code generation for all major AI/ML frameworks and tools.

PyTorch
ML Framework • Priority: 93

Machine learning framework for deep learning research and production.

Key Features

Dynamic computation graphs
GPU acceleration
Distributed training
Research-friendly

Common Patterns

Model definition
Training loops
Data loading
Distributed training

Tags

machine-learning
deep-learning
gpu
research
TensorFlow
ML Framework • Priority: 91

Open-source machine learning framework for research and production.

Key Features

Static graphs
TensorBoard
Model serving
Mobile deployment

Common Patterns

Model architecture
Training pipelines
Model serving
TensorBoard integration

Tags

machine-learning
deep-learning
production
mobile
Pandas
Data Analysis Library • Priority: 90

Powerful data structures and data analysis tools for Python programming language.

Key Features

Data structures
Data manipulation
Data analysis
File I/O

Common Patterns

DataFrame operations
Data cleaning
Groupby operations
Time series analysis

Tags

data-analysis
dataframes
python
manipulation
Hugging Face Transformers
ML Platform • Priority: 89

State-of-the-art machine learning library for PyTorch, TensorFlow, and JAX.

Key Features

Pre-trained models
Transformers library
Datasets
Model hosting

Common Patterns

Model fine-tuning
Pipeline usage
Dataset processing
Model deployment

Tags

nlp
transformers
pre-trained
datasets
scikit-learn
ML Library • Priority: 88

Machine learning library for Python with simple and efficient tools for predictive data analysis.

Key Features

Classification
Regression
Clustering
Dimensionality reduction

Common Patterns

Model training
Cross-validation
Pipeline construction
Feature selection

Tags

machine-learning
python
predictive
analysis
OpenAI SDK
SDK • Priority: 87

Official SDK for integrating with OpenAI's GPT models and APIs.

Key Features

GPT integration
Chat completions
Embeddings
Fine-tuning
Function calling

Common Patterns

Chat patterns
Embedding workflows
Function calling
Streaming responses

Tags

openai
gpt
ai
sdk
embeddings
LangChain
AI Framework • Priority: 86

Framework for developing applications powered by language models.

Key Features

LLM integration
Chain composition
Memory systems
Agent frameworks

Common Patterns

Chain building
Agent patterns
Memory management
Tool integration

Tags

llm
chains
agents
memory
MCP SDK Python
SDK • Priority: 85

Python SDK for building Model Context Protocol (MCP) servers and clients.

Key Features

FastMCP framework
Server/Client implementation
Resource management
Tool integration

Common Patterns

Server setup
Tool definition
Resource exposure
Context management

Tags

mcp
python
sdk
ai
tools
Keras
ML Framework • Priority: 84

High-level neural networks API written in Python and capable of running on top of TensorFlow.

Key Features

High-level API
Model building
Training utilities
Pre-trained models

Common Patterns

Sequential models
Functional API
Custom layers
Training loops

Tags

neural-networks
high-level
tensorflow
modeling
Anthropic SDK
SDK • Priority: 83

Official SDK for integrating with Claude and other Anthropic AI models.

Key Features

Claude integration
Message API
Streaming responses
Function calling
Vision support

Common Patterns

Message construction
Streaming responses
Function definitions
Async operations

Tags

anthropic
claude
ai
sdk
streaming
Get Started with AI & Machine Learning
Ready to build with framework-aware AI assistance?

Install Augments to get intelligent code generation and up-to-date documentation for all these AI/ML frameworks. Your AI assistant will understand the latest patterns and best practices for each tool.